Atrial Anomalies Predict Silent Atrial Fibrillation Detected by Implantable Cardiac Monitor in Cryptogenic Stroke

Recruiting now · Not applicable

Conditions studied: Paroxysmal Atrial Fibrillation, Cardiac Rhythm Disorder, Left Atrial Dilatation, Cryptogenic Stroke

In brief

Cryptogenic stroke (CS) causes about 30% of admissions to a stroke unit. Silent paroxysmal atrial fibrillation (PAF) is believed to be the underlying cause of a significant proportion of patients. The use of implantable cardiac monitors (ICM) early after the CS has demonstrated benefits in the diagnostic yield, but the indication for ICM in the current guidelines remains unclear. Atrial contraction strain (ACS) evaluated by cardiac ultrasound could be of help to select the patients more prone to suffer from silent PAF. The purpose of this investigation is to conduct a randomized prospective unicentric study to evaluate the usefulness of ICM for early detection of silent PAF episodes in patients with CS. Clinical and ultrasound predictors of PAF occurrence (ACS) will be studied in order to define patients needing a closer follow-up.

Key facts

Study ID
NCT06542770
Run by
Parc de Salut Mar
People needed
100
Starts
2021-01-01
Expected to finish
2024-12-01
Last updated by the study team
2024-08-07

Who can join

Age: 50 and older, up to 89. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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